IPL Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading required libraries\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.rcParams['figure.figsize'] = (14, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Path where the CSV file is stored\n",
    "pathoffile='/home/srinath07/Documents/Myfolder/ipldata/matches.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading the CSV file as a dataframe using pandas\n",
    "matches=pd.read_csv(pathoffile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(756, 18)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# No. of rows and columns in the dataframe\n",
    "matches.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method NDFrame.head of         id  season           city        date                        team1  \\\n",
       "0        1    2017      Hyderabad  2017-04-05          Sunrisers Hyderabad   \n",
       "1        2    2017           Pune  2017-04-06               Mumbai Indians   \n",
       "2        3    2017         Rajkot  2017-04-07                Gujarat Lions   \n",
       "3        4    2017         Indore  2017-04-08       Rising Pune Supergiant   \n",
       "4        5    2017      Bangalore  2017-04-08  Royal Challengers Bangalore   \n",
       "5        6    2017      Hyderabad  2017-04-09                Gujarat Lions   \n",
       "6        7    2017         Mumbai  2017-04-09        Kolkata Knight Riders   \n",
       "7        8    2017         Indore  2017-04-10  Royal Challengers Bangalore   \n",
       "8        9    2017           Pune  2017-04-11             Delhi Daredevils   \n",
       "9       10    2017         Mumbai  2017-04-12          Sunrisers Hyderabad   \n",
       "10      11    2017        Kolkata  2017-04-13              Kings XI Punjab   \n",
       "11      12    2017      Bangalore  2017-04-14  Royal Challengers Bangalore   \n",
       "12      13    2017         Rajkot  2017-04-14       Rising Pune Supergiant   \n",
       "13      14    2017        Kolkata  2017-04-15        Kolkata Knight Riders   \n",
       "14      15    2017          Delhi  2017-04-15             Delhi Daredevils   \n",
       "15      16    2017         Mumbai  2017-04-16                Gujarat Lions   \n",
       "16      17    2017      Bangalore  2017-04-16       Rising Pune Supergiant   \n",
       "17      18    2017          Delhi  2017-04-17             Delhi Daredevils   \n",
       "18      19    2017      Hyderabad  2017-04-17          Sunrisers Hyderabad   \n",
       "19      20    2017         Rajkot  2017-04-18  Royal Challengers Bangalore   \n",
       "20      21    2017      Hyderabad  2017-04-19          Sunrisers Hyderabad   \n",
       "21      22    2017         Indore  2017-04-20              Kings XI Punjab   \n",
       "22      23    2017        Kolkata  2017-04-21        Kolkata Knight Riders   \n",
       "23      24    2017         Mumbai  2017-04-22               Mumbai Indians   \n",
       "24      25    2017           Pune  2017-04-22          Sunrisers Hyderabad   \n",
       "25      26    2017         Rajkot  2017-04-23              Kings XI Punjab   \n",
       "26      27    2017        Kolkata  2017-04-23        Kolkata Knight Riders   \n",
       "27      28    2017         Mumbai  2017-04-24       Rising Pune Supergiant   \n",
       "28      29    2017           Pune  2017-04-26       Rising Pune Supergiant   \n",
       "29      30    2017      Bangalore  2017-04-27  Royal Challengers Bangalore   \n",
       "..     ...     ...            ...         ...                          ...   \n",
       "726  11322    2019         Mumbai    15/04/19  Royal Challengers Bangalore   \n",
       "727  11323    2019         Mohali    16/04/19              Kings XI Punjab   \n",
       "728  11324    2019      Hyderabad    17/04/19          Chennai Super Kings   \n",
       "729  11325    2019          Delhi    18/04/19               Mumbai Indians   \n",
       "730  11326    2019        Kolkata    19/04/19  Royal Challengers Bangalore   \n",
       "731  11327    2019         Jaipur    20/04/19               Mumbai Indians   \n",
       "732  11328    2019          Delhi    20/04/19              Kings XI Punjab   \n",
       "733  11329    2019      Hyderabad    21/04/19        Kolkata Knight Riders   \n",
       "734  11330    2019      Bengaluru    21/04/19  Royal Challengers Bangalore   \n",
       "735  11331    2019         Jaipur    22/04/19             Rajasthan Royals   \n",
       "736  11332    2019        Chennai    23/04/19          Sunrisers Hyderabad   \n",
       "737  11333    2019      Bengaluru    24/04/19  Royal Challengers Bangalore   \n",
       "738  11334    2019        Kolkata    25/04/19        Kolkata Knight Riders   \n",
       "739  11335    2019        Chennai    26/04/19               Mumbai Indians   \n",
       "740  11336    2019         Jaipur    27/04/19          Sunrisers Hyderabad   \n",
       "741  11337    2019          Delhi    28/04/19               Delhi Capitals   \n",
       "742  11338    2019        Kolkata    28/04/19        Kolkata Knight Riders   \n",
       "743  11339    2019      Hyderabad    29/04/19          Sunrisers Hyderabad   \n",
       "744  11340    2019      Bengaluru    30/04/19  Royal Challengers Bangalore   \n",
       "745  11341    2019        Chennai    01/05/19          Chennai Super Kings   \n",
       "746  11342    2019         Mumbai    02/05/19               Mumbai Indians   \n",
       "747  11343    2019         Mohali    03/05/19              Kings XI Punjab   \n",
       "748  11344    2019          Delhi    04/05/19             Rajasthan Royals   \n",
       "749  11345    2019      Bengaluru    04/05/19          Sunrisers Hyderabad   \n",
       "750  11346    2019         Mohali    05/05/19          Chennai Super Kings   \n",
       "751  11347    2019         Mumbai    05/05/19        Kolkata Knight Riders   \n",
       "752  11412    2019        Chennai    07/05/19          Chennai Super Kings   \n",
       "753  11413    2019  Visakhapatnam    08/05/19          Sunrisers Hyderabad   \n",
       "754  11414    2019  Visakhapatnam    10/05/19               Delhi Capitals   \n",
       "755  11415    2019      Hyderabad    12/05/19               Mumbai Indians   \n",
       "\n",
       "                           team2                  toss_winner toss_decision  \\\n",
       "0    Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "1         Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "2          Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "3                Kings XI Punjab              Kings XI Punjab         field   \n",
       "4               Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
       "5            Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "6                 Mumbai Indians               Mumbai Indians         field   \n",
       "7                Kings XI Punjab  Royal Challengers Bangalore           bat   \n",
       "8         Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "9                 Mumbai Indians               Mumbai Indians         field   \n",
       "10         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "11                Mumbai Indians               Mumbai Indians         field   \n",
       "12                 Gujarat Lions                Gujarat Lions         field   \n",
       "13           Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "14               Kings XI Punjab             Delhi Daredevils           bat   \n",
       "15                Mumbai Indians               Mumbai Indians         field   \n",
       "16   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "17         Kolkata Knight Riders             Delhi Daredevils           bat   \n",
       "18               Kings XI Punjab              Kings XI Punjab         field   \n",
       "19                 Gujarat Lions                Gujarat Lions         field   \n",
       "20              Delhi Daredevils          Sunrisers Hyderabad           bat   \n",
       "21                Mumbai Indians               Mumbai Indians         field   \n",
       "22                 Gujarat Lions                Gujarat Lions         field   \n",
       "23              Delhi Daredevils             Delhi Daredevils         field   \n",
       "24        Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "25                 Gujarat Lions                Gujarat Lions         field   \n",
       "26   Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "27                Mumbai Indians               Mumbai Indians         field   \n",
       "28         Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "29                 Gujarat Lions                Gujarat Lions         field   \n",
       "..                           ...                          ...           ...   \n",
       "726               Mumbai Indians               Mumbai Indians         field   \n",
       "727             Rajasthan Royals             Rajasthan Royals         field   \n",
       "728          Sunrisers Hyderabad          Chennai Super Kings           bat   \n",
       "729               Delhi Capitals               Mumbai Indians           bat   \n",
       "730        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "731             Rajasthan Royals             Rajasthan Royals         field   \n",
       "732               Delhi Capitals               Delhi Capitals         field   \n",
       "733          Sunrisers Hyderabad          Sunrisers Hyderabad         field   \n",
       "734          Chennai Super Kings          Chennai Super Kings         field   \n",
       "735               Delhi Capitals               Delhi Capitals         field   \n",
       "736          Chennai Super Kings          Chennai Super Kings         field   \n",
       "737              Kings XI Punjab              Kings XI Punjab         field   \n",
       "738             Rajasthan Royals             Rajasthan Royals         field   \n",
       "739          Chennai Super Kings          Chennai Super Kings         field   \n",
       "740             Rajasthan Royals             Rajasthan Royals         field   \n",
       "741  Royal Challengers Bangalore               Delhi Capitals           bat   \n",
       "742               Mumbai Indians               Mumbai Indians         field   \n",
       "743              Kings XI Punjab              Kings XI Punjab         field   \n",
       "744             Rajasthan Royals             Rajasthan Royals         field   \n",
       "745               Delhi Capitals               Delhi Capitals         field   \n",
       "746          Sunrisers Hyderabad               Mumbai Indians           bat   \n",
       "747        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "748               Delhi Capitals             Rajasthan Royals           bat   \n",
       "749  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "750              Kings XI Punjab              Kings XI Punjab         field   \n",
       "751               Mumbai Indians               Mumbai Indians         field   \n",
       "752               Mumbai Indians          Chennai Super Kings           bat   \n",
       "753               Delhi Capitals               Delhi Capitals         field   \n",
       "754          Chennai Super Kings          Chennai Super Kings         field   \n",
       "755          Chennai Super Kings               Mumbai Indians           bat   \n",
       "\n",
       "        result  dl_applied                       winner  win_by_runs  \\\n",
       "0       normal           0          Sunrisers Hyderabad           35   \n",
       "1       normal           0       Rising Pune Supergiant            0   \n",
       "2       normal           0        Kolkata Knight Riders            0   \n",
       "3       normal           0              Kings XI Punjab            0   \n",
       "4       normal           0  Royal Challengers Bangalore           15   \n",
       "5       normal           0          Sunrisers Hyderabad            0   \n",
       "6       normal           0               Mumbai Indians            0   \n",
       "7       normal           0              Kings XI Punjab            0   \n",
       "8       normal           0             Delhi Daredevils           97   \n",
       "9       normal           0               Mumbai Indians            0   \n",
       "10      normal           0        Kolkata Knight Riders            0   \n",
       "11      normal           0               Mumbai Indians            0   \n",
       "12      normal           0                Gujarat Lions            0   \n",
       "13      normal           0        Kolkata Knight Riders           17   \n",
       "14      normal           0             Delhi Daredevils           51   \n",
       "15      normal           0               Mumbai Indians            0   \n",
       "16      normal           0       Rising Pune Supergiant           27   \n",
       "17      normal           0        Kolkata Knight Riders            0   \n",
       "18      normal           0          Sunrisers Hyderabad            5   \n",
       "19      normal           0  Royal Challengers Bangalore           21   \n",
       "20      normal           0          Sunrisers Hyderabad           15   \n",
       "21      normal           0               Mumbai Indians            0   \n",
       "22      normal           0                Gujarat Lions            0   \n",
       "23      normal           0               Mumbai Indians           14   \n",
       "24      normal           0       Rising Pune Supergiant            0   \n",
       "25      normal           0              Kings XI Punjab           26   \n",
       "26      normal           0        Kolkata Knight Riders           82   \n",
       "27      normal           0       Rising Pune Supergiant            3   \n",
       "28      normal           0        Kolkata Knight Riders            0   \n",
       "29      normal           0                Gujarat Lions            0   \n",
       "..         ...         ...                          ...          ...   \n",
       "726     normal           0               Mumbai Indians            0   \n",
       "727     normal           0              Kings XI Punjab           12   \n",
       "728     normal           0          Sunrisers Hyderabad            0   \n",
       "729     normal           0               Mumbai Indians           40   \n",
       "730     normal           0  Royal Challengers Bangalore           10   \n",
       "731     normal           0             Rajasthan Royals            0   \n",
       "732     normal           0               Delhi Capitals            0   \n",
       "733     normal           0          Sunrisers Hyderabad            0   \n",
       "734     normal           0  Royal Challengers Bangalore            1   \n",
       "735     normal           0               Delhi Capitals            0   \n",
       "736     normal           0          Chennai Super Kings            0   \n",
       "737     normal           0  Royal Challengers Bangalore           17   \n",
       "738     normal           0             Rajasthan Royals            0   \n",
       "739     normal           0               Mumbai Indians           46   \n",
       "740     normal           0             Rajasthan Royals            0   \n",
       "741     normal           0               Delhi Capitals           16   \n",
       "742     normal           0        Kolkata Knight Riders           34   \n",
       "743     normal           0          Sunrisers Hyderabad           45   \n",
       "744  no result           0                          NaN            0   \n",
       "745     normal           0          Chennai Super Kings           80   \n",
       "746        tie           0               Mumbai Indians            0   \n",
       "747     normal           0        Kolkata Knight Riders            0   \n",
       "748     normal           0               Delhi Capitals            0   \n",
       "749     normal           0  Royal Challengers Bangalore            0   \n",
       "750     normal           0              Kings XI Punjab            0   \n",
       "751     normal           0               Mumbai Indians            0   \n",
       "752     normal           0               Mumbai Indians            0   \n",
       "753     normal           0               Delhi Capitals            0   \n",
       "754     normal           0          Chennai Super Kings            0   \n",
       "755     normal           0               Mumbai Indians            1   \n",
       "\n",
       "     win_by_wickets  player_of_match  \\\n",
       "0                 0     Yuvraj Singh   \n",
       "1                 7        SPD Smith   \n",
       "2                10          CA Lynn   \n",
       "3                 6       GJ Maxwell   \n",
       "4                 0        KM Jadhav   \n",
       "5                 9      Rashid Khan   \n",
       "6                 4           N Rana   \n",
       "7                 8         AR Patel   \n",
       "8                 0        SV Samson   \n",
       "9                 4        JJ Bumrah   \n",
       "10                8        SP Narine   \n",
       "11                4       KA Pollard   \n",
       "12                7           AJ Tye   \n",
       "13                0       RV Uthappa   \n",
       "14                0      CJ Anderson   \n",
       "15                6           N Rana   \n",
       "16                0        BA Stokes   \n",
       "17                4  NM Coulter-Nile   \n",
       "18                0          B Kumar   \n",
       "19                0         CH Gayle   \n",
       "20                0    KS Williamson   \n",
       "21                8       JC Buttler   \n",
       "22                4         SK Raina   \n",
       "23                0   MJ McClenaghan   \n",
       "24                6         MS Dhoni   \n",
       "25                0          HM Amla   \n",
       "26                0  NM Coulter-Nile   \n",
       "27                0        BA Stokes   \n",
       "28                7       RV Uthappa   \n",
       "29                7           AJ Tye   \n",
       "..              ...              ...   \n",
       "726               5       SL Malinga   \n",
       "727               0         R Ashwin   \n",
       "728               6        DA Warner   \n",
       "729               0        HH Pandya   \n",
       "730               0          V Kohli   \n",
       "731               5        SPD Smith   \n",
       "732               5          SS Iyer   \n",
       "733               9          K Ahmed   \n",
       "734               0         PA Patel   \n",
       "735               6          RR Pant   \n",
       "736               6        SR Watson   \n",
       "737               0   AB de Villiers   \n",
       "738               3         VR Aaron   \n",
       "739               0        RG Sharma   \n",
       "740               7       JD Unadkat   \n",
       "741               0         S Dhawan   \n",
       "742               0       AD Russell   \n",
       "743               0        DA Warner   \n",
       "744               0              NaN   \n",
       "745               0         MS Dhoni   \n",
       "746               0        JJ Bumrah   \n",
       "747               7           S Gill   \n",
       "748               5         A Mishra   \n",
       "749               4        S Hetmyer   \n",
       "750               6         KL Rahul   \n",
       "751               9        HH Pandya   \n",
       "752               6         AS Yadav   \n",
       "753               2          RR Pant   \n",
       "754               6     F du Plessis   \n",
       "755               0        JJ Bumrah   \n",
       "\n",
       "                                         venue                umpire1  \\\n",
       "0    Rajiv Gandhi International Stadium, Uppal            AY Dandekar   \n",
       "1      Maharashtra Cricket Association Stadium         A Nand Kishore   \n",
       "2       Saurashtra Cricket Association Stadium            Nitin Menon   \n",
       "3                       Holkar Cricket Stadium           AK Chaudhary   \n",
       "4                        M Chinnaswamy Stadium                    NaN   \n",
       "5    Rajiv Gandhi International Stadium, Uppal             A Deshmukh   \n",
       "6                             Wankhede Stadium            Nitin Menon   \n",
       "7                       Holkar Cricket Stadium           AK Chaudhary   \n",
       "8      Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "9                             Wankhede Stadium            Nitin Menon   \n",
       "10                                Eden Gardens             A Deshmukh   \n",
       "11                       M Chinnaswamy Stadium  KN Ananthapadmanabhan   \n",
       "12      Saurashtra Cricket Association Stadium         A Nand Kishore   \n",
       "13                                Eden Gardens            AY Dandekar   \n",
       "14                            Feroz Shah Kotla               YC Barde   \n",
       "15                            Wankhede Stadium         A Nand Kishore   \n",
       "16                       M Chinnaswamy Stadium  KN Ananthapadmanabhan   \n",
       "17                            Feroz Shah Kotla            Nitin Menon   \n",
       "18   Rajiv Gandhi International Stadium, Uppal            AY Dandekar   \n",
       "19      Saurashtra Cricket Association Stadium                 S Ravi   \n",
       "20   Rajiv Gandhi International Stadium, Uppal            CB Gaffaney   \n",
       "21                      Holkar Cricket Stadium              M Erasmus   \n",
       "22                                Eden Gardens            CB Gaffaney   \n",
       "23                            Wankhede Stadium         A Nand Kishore   \n",
       "24     Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "25      Saurashtra Cricket Association Stadium           AK Chaudhary   \n",
       "26                                Eden Gardens            CB Gaffaney   \n",
       "27                            Wankhede Stadium         A Nand Kishore   \n",
       "28     Maharashtra Cricket Association Stadium            AY Dandekar   \n",
       "29                       M Chinnaswamy Stadium           AK Chaudhary   \n",
       "..                                         ...                    ...   \n",
       "726                           Wankhede Stadium         Marais Erasmus   \n",
       "727                          IS Bindra Stadium         Anil Chaudhary   \n",
       "728         Rajiv Gandhi Intl. Cricket Stadium              Ian Gould   \n",
       "729                    Feroz Shah Kotla Ground            Nigel Llong   \n",
       "730                               Eden Gardens              Ian Gould   \n",
       "731                     Sawai Mansingh Stadium                 S Ravi   \n",
       "732                    Feroz Shah Kotla Ground           Ulhas Gandhe   \n",
       "733         Rajiv Gandhi Intl. Cricket Stadium            Nitin Menon   \n",
       "734                     M. Chinnaswamy Stadium        Vineet Kulkarni   \n",
       "735                     Sawai Mansingh Stadium                 S Ravi   \n",
       "736                  M. A. Chidambaram Stadium            Nigel Llong   \n",
       "737                     M. Chinnaswamy Stadium         Bruce Oxenford   \n",
       "738                               Eden Gardens              Ian Gould   \n",
       "739                  M. A. Chidambaram Stadium            Nigel Llong   \n",
       "740                     Sawai Mansingh Stadium         Yeshwant Barde   \n",
       "741                    Feroz Shah Kotla Ground         Bruce Oxenford   \n",
       "742                               Eden Gardens              Ian Gould   \n",
       "743         Rajiv Gandhi Intl. Cricket Stadium                 S Ravi   \n",
       "744                     M. Chinnaswamy Stadium            Nigel Llong   \n",
       "745                  M. A. Chidambaram Stadium          Anil Dandekar   \n",
       "746                           Wankhede Stadium                 S Ravi   \n",
       "747                          IS Bindra Stadium         Bruce Oxenford   \n",
       "748                    Feroz Shah Kotla Ground              Ian Gould   \n",
       "749                     M. Chinnaswamy Stadium            Nigel Llong   \n",
       "750                          IS Bindra Stadium  KN Ananthapadmanabhan   \n",
       "751                           Wankhede Stadium          Nanda Kishore   \n",
       "752                  M. A. Chidambaram Stadium            Nigel Llong   \n",
       "753                           ACA-VDCA Stadium                    NaN   \n",
       "754                           ACA-VDCA Stadium          Sundaram Ravi   \n",
       "755         Rajiv Gandhi Intl. Cricket Stadium            Nitin Menon   \n",
       "\n",
       "                   umpire2                  umpire3  \n",
       "0                 NJ Llong                      NaN  \n",
       "1                   S Ravi                      NaN  \n",
       "2                CK Nandan                      NaN  \n",
       "3            C Shamshuddin                      NaN  \n",
       "4                      NaN                      NaN  \n",
       "5                 NJ Llong                      NaN  \n",
       "6                CK Nandan                      NaN  \n",
       "7            C Shamshuddin                      NaN  \n",
       "8                   S Ravi                      NaN  \n",
       "9                CK Nandan                      NaN  \n",
       "10                NJ Llong                      NaN  \n",
       "11            AK Chaudhary                      NaN  \n",
       "12                  S Ravi                      NaN  \n",
       "13                NJ Llong                      NaN  \n",
       "14             Nitin Menon                      NaN  \n",
       "15                  S Ravi                      NaN  \n",
       "16           C Shamshuddin                      NaN  \n",
       "17               CK Nandan                      NaN  \n",
       "18              A Deshmukh                      NaN  \n",
       "19               VK Sharma                      NaN  \n",
       "20                NJ Llong                      NaN  \n",
       "21           C Shamshuddin                      NaN  \n",
       "22             Nitin Menon                      NaN  \n",
       "23                  S Ravi                      NaN  \n",
       "24              A Deshmukh                      NaN  \n",
       "25               M Erasmus                      NaN  \n",
       "26               CK Nandan                      NaN  \n",
       "27                  S Ravi                      NaN  \n",
       "28                NJ Llong                      NaN  \n",
       "29           C Shamshuddin                      NaN  \n",
       "..                     ...                      ...  \n",
       "726            Nitin Menon            Nanda Kishore  \n",
       "727        Vineet Kulkarni                   S Ravi  \n",
       "728           Ulhas Gandhe            C Shamshuddin  \n",
       "729         Bruce Oxenford           Anil Chaudhary  \n",
       "730            Nitin Menon            Anil Dandekar  \n",
       "731         Yeshwant Barde                 O Nandan  \n",
       "732          C Shamshuddin           Bruce Oxenford  \n",
       "733            Nigel Llong                Ian Gould  \n",
       "734             Rod Tucker           Anil Chaudhary  \n",
       "735          Nanda Kishore           Yeshwant Barde  \n",
       "736         Anil Chaudhary          Vineet Kulkarni  \n",
       "737          C Shamshuddin               Rod Tucker  \n",
       "738          Anil Dandekar              Nitin Menon  \n",
       "739         Anil Chaudhary          Vineet Kulkarni  \n",
       "740           Nand Kishore            Sundaram Ravi  \n",
       "741  KN Ananthapadmanabhan            C Shamshuddin  \n",
       "742            Nitin Menon            Anil Dandekar  \n",
       "743               O Nandan            Nanda Kishore  \n",
       "744           Ulhas Gandhe           Anil Chaudhary  \n",
       "745            Nitin Menon                Ian Gould  \n",
       "746               O Nandan            Nanda Kishore  \n",
       "747          C Shamshuddin    KN Ananthapadmanabhan  \n",
       "748          Anil Dandekar              Nitin Menon  \n",
       "749         Anil Chaudhary             Ulhas Gandhe  \n",
       "750          C Shamshuddin           Bruce Oxenford  \n",
       "751               O Nandan                   S Ravi  \n",
       "752            Nitin Menon                Ian Gould  \n",
       "753                    NaN                      NaN  \n",
       "754         Bruce Oxenford  Chettithody Shamshuddin  \n",
       "755              Ian Gould              Nigel Llong  \n",
       "\n",
       "[756 rows x 18 columns]>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches.head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>season</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "      <td>756.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1792.178571</td>\n",
       "      <td>2013.444444</td>\n",
       "      <td>0.025132</td>\n",
       "      <td>13.283069</td>\n",
       "      <td>3.350529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3464.478148</td>\n",
       "      <td>3.366895</td>\n",
       "      <td>0.156630</td>\n",
       "      <td>23.471144</td>\n",
       "      <td>3.387963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2008.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>189.750000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>378.500000</td>\n",
       "      <td>2013.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>567.250000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>11415.000000</td>\n",
       "      <td>2019.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>146.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id       season  dl_applied  win_by_runs  win_by_wickets\n",
       "count    756.000000   756.000000  756.000000   756.000000      756.000000\n",
       "mean    1792.178571  2013.444444    0.025132    13.283069        3.350529\n",
       "std     3464.478148     3.366895    0.156630    23.471144        3.387963\n",
       "min        1.000000  2008.000000    0.000000     0.000000        0.000000\n",
       "25%      189.750000  2011.000000    0.000000     0.000000        0.000000\n",
       "50%      378.500000  2013.000000    0.000000     0.000000        4.000000\n",
       "75%      567.250000  2016.000000    0.000000    19.000000        6.000000\n",
       "max    11415.000000  2019.000000    1.000000   146.000000       10.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 756 entries, 0 to 755\n",
      "Data columns (total 18 columns):\n",
      "id                 756 non-null int64\n",
      "season             756 non-null int64\n",
      "city               749 non-null object\n",
      "date               756 non-null object\n",
      "team1              756 non-null object\n",
      "team2              756 non-null object\n",
      "toss_winner        756 non-null object\n",
      "toss_decision      756 non-null object\n",
      "result             756 non-null object\n",
      "dl_applied         756 non-null int64\n",
      "winner             752 non-null object\n",
      "win_by_runs        756 non-null int64\n",
      "win_by_wickets     756 non-null int64\n",
      "player_of_match    752 non-null object\n",
      "venue              756 non-null object\n",
      "umpire1            754 non-null object\n",
      "umpire2            754 non-null object\n",
      "umpire3            119 non-null object\n",
      "dtypes: int64(5), object(13)\n",
      "memory usage: 106.4+ KB\n"
     ]
    }
   ],
   "source": [
    "matches.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2017, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2018,\n",
       "       2019])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches['season'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "146"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(matches['win_by_runs'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                               44\n",
       "season                         2017\n",
       "city                          Delhi\n",
       "date                     2017-05-06\n",
       "team1                Mumbai Indians\n",
       "team2              Delhi Daredevils\n",
       "toss_winner        Delhi Daredevils\n",
       "toss_decision                 field\n",
       "result                       normal\n",
       "dl_applied                        0\n",
       "winner               Mumbai Indians\n",
       "win_by_runs                     146\n",
       "win_by_wickets                    0\n",
       "player_of_match         LMP Simmons\n",
       "venue              Feroz Shah Kotla\n",
       "umpire1                 Nitin Menon\n",
       "umpire2                   CK Nandan\n",
       "umpire3                         NaN\n",
       "Name: 43, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Match won by the maximum margin of runs\n",
    "matches.iloc[matches['win_by_runs'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(matches['win_by_wickets'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                                      3\n",
       "season                                               2017\n",
       "city                                               Rajkot\n",
       "date                                           2017-04-07\n",
       "team1                                       Gujarat Lions\n",
       "team2                               Kolkata Knight Riders\n",
       "toss_winner                         Kolkata Knight Riders\n",
       "toss_decision                                       field\n",
       "result                                             normal\n",
       "dl_applied                                              0\n",
       "winner                              Kolkata Knight Riders\n",
       "win_by_runs                                             0\n",
       "win_by_wickets                                         10\n",
       "player_of_match                                   CA Lynn\n",
       "venue              Saurashtra Cricket Association Stadium\n",
       "umpire1                                       Nitin Menon\n",
       "umpire2                                         CK Nandan\n",
       "umpire3                                               NaN\n",
       "Name: 2, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Match won by maximum wickets\n",
    "matches.iloc[matches['win_by_wickets'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                                        59\n",
       "season                                                  2017\n",
       "city                                               Hyderabad\n",
       "date                                              2017-05-21\n",
       "team1                                         Mumbai Indians\n",
       "team2                                 Rising Pune Supergiant\n",
       "toss_winner                                   Mumbai Indians\n",
       "toss_decision                                            bat\n",
       "result                                                normal\n",
       "dl_applied                                                 0\n",
       "winner                                        Mumbai Indians\n",
       "win_by_runs                                                1\n",
       "win_by_wickets                                             0\n",
       "player_of_match                                    KH Pandya\n",
       "venue              Rajiv Gandhi International Stadium, Uppal\n",
       "umpire1                                             NJ Llong\n",
       "umpire2                                               S Ravi\n",
       "umpire3                                                  NaN\n",
       "Name: 58, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Match won by minimum margin of runs (not by 1 run)\n",
    "matches.iloc[matches[matches['win_by_runs'].ge(1)].win_by_runs.idxmin()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                   560\n",
       "season                              2015\n",
       "city                             Kolkata\n",
       "date                          2015-05-09\n",
       "team1                    Kings XI Punjab\n",
       "team2              Kolkata Knight Riders\n",
       "toss_winner              Kings XI Punjab\n",
       "toss_decision                        bat\n",
       "result                            normal\n",
       "dl_applied                             0\n",
       "winner             Kolkata Knight Riders\n",
       "win_by_runs                            0\n",
       "win_by_wickets                         1\n",
       "player_of_match               AD Russell\n",
       "venue                       Eden Gardens\n",
       "umpire1                     AK Chaudhary\n",
       "umpire2                  HDPK Dharmasena\n",
       "umpire3                              NaN\n",
       "Name: 559, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Match won by minimum wickets (not by 0 wickets)\n",
    "matches.iloc[matches[matches['win_by_wickets'].ge(1)].win_by_wickets.idxmin()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matches['dl_applied'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    737\n",
       "1     19\n",
       "Name: dl_applied, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Matches where D/L method was and wasn't applied\n",
    "# 0 indicates normal match with no D/L method applied and 1 indicates a rain curtailed match with D/L method being applied\n",
    "matches['dl_applied'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    97.49\n",
       "1     2.51\n",
       "Name: dl_applied, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# % of matches with and without D/L method (0 for no D/L and 1 for D/L method applied)\n",
    "round(matches['dl_applied'].value_counts()/matches['dl_applied'].count()*100, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot to visualise the no. of matches held in each city\n",
    "sns.countplot(y='city', data=matches)\n",
    "plt.title('No. of matches held in each city\\n')\n",
    "plt.xlabel('\\nNo. of matches held')\n",
    "plt.ylabel('Cities\\n')\n",
    "plt.xlim([0,120])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mumbai Indians                 109\n",
       "Chennai Super Kings            100\n",
       "Kolkata Knight Riders           92\n",
       "Royal Challengers Bangalore     84\n",
       "Kings XI Punjab                 82\n",
       "Rajasthan Royals                75\n",
       "Delhi Daredevils                67\n",
       "Sunrisers Hyderabad             58\n",
       "Deccan Chargers                 29\n",
       "Gujarat Lions                   13\n",
       "Pune Warriors                   12\n",
       "Rising Pune Supergiant          10\n",
       "Delhi Capitals                  10\n",
       "Kochi Tuskers Kerala             6\n",
       "Rising Pune Supergiants          5\n",
       "Name: winner, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# No. of matches won by each team\n",
    "matches['winner'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot to visualise the no. of matches won by each team\n",
    "data=matches['winner'].value_counts()\n",
    "fig, ax=plt.subplots()\n",
    "ax.set_xlim([0,120])\n",
    "sns.barplot(y=data.index, x=data, orient='h')\n",
    "plt.title('No. of matches won by each team\\n')\n",
    "plt.xlabel(\"\\nNo. of matches won\")\n",
    "plt.ylabel('Teams\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot to visualise the no. of matches held every season\n",
    "sns.countplot(x='season', data=matches)\n",
    "plt.title('No. of matches held every season\\n')\n",
    "plt.xlabel('\\nSeason')\n",
    "plt.ylabel('No. of matches held\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CH Gayle          21\n",
       "AB de Villiers    20\n",
       "MS Dhoni          17\n",
       "DA Warner         17\n",
       "RG Sharma         17\n",
       "YK Pathan         16\n",
       "SR Watson         15\n",
       "SK Raina          14\n",
       "G Gambhir         13\n",
       "AM Rahane         12\n",
       "Name: player_of_match, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Picking the top 10 players based on the no. of Man of Match (MOM) awards won\n",
    "mom=matches['player_of_match'].value_counts()[:10]\n",
    "mom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACasm8BUVdeoqsOq6mtVdXxVPXkcvl9VnVRVx44/95p3rQAAwLZh+3kXMOP3SZ7W3V+qqp2THF1VHxvHvbK7XzbH2gAAgG3QuglM3X1ykpPHx2dU1deTXG2+VQEAANuydXNK3qyq2j3JHyX5/Dho36r6SlW9oaouP/GafarqqKo66rTTTlujSgEAgIuydReYqmqnJO9K8pTuPj3JfyS5TpI9MvRAvXyp13X3/t29Z3fvuWHDhjWrFwAAuOhaV4Gpqi6eISy9tbvfnSTdfWp3n93d5yR5bZJbzbNGAABg27FuAlNVVZLXJ/l6d79iZvhVZyZ7QJLj1ro2AABg27RubvqQ5HZJHpXkq1V17Djsb5PsXVV7JOkk30vyhPmUBwAAbGvWTWDq7k8nqSVGfWitawEAAEjW0Sl5AAAA643ABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADAhO3nXcBau8UzDpx3CXNz9EsfPe8SAABgq6KHCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYsG4CU1Vdo6oOq6qvVdXxVfXkcfgVqupjVfXt8ffl510rAACwbVg3gSnJ75M8rbtvmOTWSf53Vd0wybOSfLy7r5vk4+NzAACAVbduAlN3n9zdXxofn5Hk60muluR+SQ4YJzsgyf3nUyEAALCtWTeBaVZV7Z7kj5J8PsmVu/vkcdQpSa48p7IAAIBtzPbzLmCxqtopybuSPKW7T6+qc8d1d1dVT7xunyT7JMluu+22FqVuU77/DzeZdwlzs9tzvzrvEgAAmJN11cNUVRfPEJbe2t3vHgefWlVXHcdfNcmPlnptd+/f3Xt2954bNmxYm4IBAICLtHUTmGroSnp9kq939ytmRr0vyWPGx49J8t61rg0AANg2radT8m6X5FFJvlpVx47D/jbJi5L8Z1U9LsmJSR46p/oAAIBtzLoJTN396SQ1Mfoua1kLAABAso5OyQMAAFhvBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJiw/aYmqKoNSf4yye6z03f3X6xeWQAAAPO3ycCU5L1JPpXk0CRnr245AAAA68dKAtOlu/uZq14JAADAOrOSa5g+UFX3WvVKAAAA1pmVBKYnZwhNv6mqM8af01e7MAAAgHnb5Cl53b3zWhQCAACw3qzkGqZU1X2T3GF8enh3f2D1SgIAAFgfNnlKXlW9KMNpeV8bf55cVS9c7cIAAADmbSU9TPdKskd3n5MkVXVAkmOS/M1qFgYAADBvK7npQ5JcbubxZVejEAAAgPVmJT1ML0xyTFUdlqQyXMv0rFWtCgAAYB1YyV3yDqqqw5Pcchz0zO4+ZVWrgouQ2/3b7eZdwlx85v985kK9/og73HELVbJ1ueMnj7hQr3/V096/hSrZuuz78j+bdwkAXERtMjBV1VuSHJHkU939jdUvCQAAYH1YyTVMr09y1ST/VlUnVNW7qurJq1wXAADA3K3klLzDquqTGU7Ju1OSJya5UZJ/WeXaAAAA5molp+R9PMmOSY5M8qkkt+zuH612YQAAAPO2klPyvpLkd0lunOSmSW5cVZda1aoAAADWgZWckvfUJKmqnZM8Nskbk1wlySVXtTIAAIA5W8kpefsm+ZMkt0jyvSRvyHBqHgAAwEXaSv5x7Q5JXpHk6O7+/SrXAwAAsG6s5JS8l61FIQAAAOvNSm76AAAAsE0SmAAAACZsMjBV1Y5VdbHx8fWq6r5VdfHVLw0AAGC+VtLD9MkkO1TV1ZJ8NMmjkrxpNYsCAABYD1YSmKq7f5XkgUn+vbsfkuRGq1sWAADA/K0oMFXVbZI8IskHx2HbrV5JAAAA68NK/g/TU5L8TZJDuvv4qrp2ksNWtywAWDv/9MgHz7uEuXj2W9457xIA1r2V/B+mI5IcMfP8hCRPWs2iAAAA1oPJwFRV70/SU+O7+76rUhEAAMA6sVwP08vG3w9McpUkbxmf753k1NUsCgAAYD2YDEzjqXipqpd3954zo95fVUetemUAAABztpK75O043ughSVJV10qy4+qVBAAAsD6s5C55T01yeFWdkKSSXDPJPqtaFQAAwDqwbGCqqoslOT3JdZPcYBz8je7+7WoXBgAAMG/LBqbuPqeqXt3df5Tky2tUEwAAwLqwkmuYPl5VD6qqWvVqAAAA1pGVBKYnJDk4yW+r6vSqOqOqTl/lugAAAOZukzd96O6d16IQAACA9WYlPUypqstX1a2q6g4LP1u6kKp6Q1X9qKqOmxm2X1WdVFXHjj/32tLLBQAAmLLJHqaqenySJye5epJjk9w6yZFJ7ryFa3lTklclOXDR8Fd298u28LIAAAA2aSU9TE9OcsskJ3b3nZL8UZKfb+lCuvuTSX66pecLAACwuVbyj2t/092/qapU1SW7+xtVdf1Vr2yjfavq0UmOSvK07v7ZUhNV1T4Z/6HubrvttoblAcC26ev/9Il5lzA3f/jsLX2iDbBeraSH6QdVdbkk70nysap6b5ITV7esc/1Hkusk2SPJyUlePjVhd+/f3Xt2954bNmxYo/IAAICLspXcJe8B48P9quqwJJdN8uFVrWrjsk9deFxVr03ygbVYLgAAQLKymz48P8knk3y2u49Y/ZLOs+yrdvfJ49MHJDluuekBAAC2pJVcw3RCkr2T/GtVnZHkU0k+2d3v3ZKFVNVBSfZKsktV/SDJ3yfZq6r2SNJJvpfhn+gCAACsiZWckvfGJG+sqqskeWiSp2e4ucIW/Ye23b33EoNfvyWXAQAAcEGs5JS81yW5YZJTM/QuPTjJl1a5LgAAgLlbyV3yrphkuwz/e+mnSX7c3b9f1aoAAADWgRXfJa+q/jDJnyY5rKq26+6rr3ZxAAAA87SSU/Luk+RPktwhyeWSfCLDqXkAAAAXaSu5S949MgSkf+nuH65yPQAAAOvGSk7J23ctCgEAAFhvNnnTh6q6dVV9sarOrKrfVdXZVXX6WhQHAAAwTyu5S96rMvzj2m8nuVSSxyd59WoWBQAAsB6sJDClu7+TZLvuPnv8R7b3WN2yAAAA5m8lN334VVVdIsmxVfWSJCdnhUELAABga7aSwPSoDAFp3yRPTXKNJA9azaIAAC6q9ttvv3mXMDfb8ntn67WSu+SdOD78TZLnrW45AAAA64dT6wAAACYITAAAABMEJgAAgAmT1zBV1fuWe2F333fLlwMAALB+LHfTh9sk+Z8kByX5fJJak4oAAADWieUC01WS3C3J3kn+vyQfTHJQdx+/FoUBAADM2+Q1TN19dnd/uLsfk+TWSb6T5PCq2nfNqgMAAJijZf8PU1VdMsm9M/Qy7Z7kX5McsvplAQAAzN9yN304MMmNk3woyfO6+7g1qwoAAGAdWK6H6ZFJfpnkyUmeXFU9Dq8k3d2XWe3iAAAA5mkyMHW3/9EEAABs05a9hilJqupOSW40Pj2uuw9f1YoAAADWieWuYbpakncn+U2So8fBD6mqSyV5QHeftAb1AQAAzM1yPUyvSvIf3f2m2YFV9egk/57kfqtYFwAAnOs/D77VvEuYm4c+5AvzLmGbttx1SjdcHJaSpLsPTHKDVasIAABgnVguMC05rqoulmS71SkHAABg/VguMH2gql5bVTsuDBgfvybD/2YCAAC4SFsuMP3fJL9IcmJVHV1VX0ryvSSnJ3n6GtQGAAAwV8v9H6azkjy9qv4uyR+Mg7/b3b9ak8oAAADmbLnbij9wicHXraokSXe/e7WKAgAAWA+Wu634O5McO/4kSc2M6wz/owkAAOAia7nA9MAkD09y0yTvTXJQd39nTaoCAABYByZv+tDd7+nuhye5Y5LvJnl5VX26qu64ZtUBAADM0XJ3yVvwmwx3yzs9yU5JdljVigAAANaJ5W76cOcMp+TdKsmhSf6lu49aq8IAAADmbblrmA5N8pUkn05yySSPrqpHL4zs7ietcm0AAABztVxg+vM1qwIAAGAdWu4f1x6wloUAAACsNyu56QMAAMA2ablT8gAAgK3Yzd75kXmXMDdffvCfbpH5TPYwVdWLx98P2SJLAgAA2Mosd0revaqqkvzNWhUDAACwnix3St6Hk/wsyU5VdXqSStILv7v7MmtQHwAAwNxM9jB19zO6+3JJPtjdl+nunWd/r2GNAAAAc7HJmz509/2q6spJbjkO+nx3n7a6ZQEAAMzfJm8rPt704QtJHpLkoUm+UFUPXu3CAAAA5m0ltxV/TpJbdvePkqSqNiQ5NMk7V7MwAACAeVvJP6692EJYGv1kha8DAADYqq2kh+nDVfWRJAeNzx+W5EOrVxIAAMD6sJKbPjyjqh6Y5PbjoP27+5DVLQsAAGD+VtLDlO5+d5J3r3ItAAAA64prkQAAACYITAAAABMEJgAAgAmbFZiqar8tXAcAAMC6s7k9TEdv0SoAAADWoc0KTN39/i1dCAAAwHqzycBUVVevqkOq6rSq+lFVvauqrr4WxQEAAMzTSnqY3pjkfUmummTXJO8fhwEAAFykrSQwbejuN3b378efNyXZsMp1AQAAzN1KAtNPquqRVbXd+PPIJD9Z7cIAAADmbSWB6S+SPDTJKUlOTvLgJH++mkUBAACsB9tvaoLuPjHJfdegFgAAgHVlMjBV1XOXeV139/NXoR4AAIB1Y7kepl8uMWzHJI9LcsUkAhMAAHCRNhmYuvvlC4+rauckT85w7dLbk7x86nUAAAAXFctew1RVV0jy10kekeSAJDfv7p+tRWEAAADzNnmXvKp6aZIvJjkjyU26e7/VDEtV9Yaq+lFVHTcz7ApV9bGq+vb4+/KrtXwAAIDFlrut+NOS7JrkOUl+WFWnjz9nVNXpq1DLm5LcY9GwZyX5eHdfN8nHx+cAAABrYrlrmFbyP5q2mO7+ZFXtvmjw/ZLsNT4+IMnhSZ65ZkUBAADbtDUNRZvhyt198vj4lCRXnpqwqvapqqOq6qjTTjttbaoDAAAu0tZ7YDpXd3eSXmb8/t29Z3fvuWHDhjWsDAAAuKha74Hp1Kq6apKMv38053oAAIBtyHoPTO9L8pjx8WOSvHeOtQAAANuYdROYquqgJEcmuX5V/aCqHpfkRUnuVlXfTnLX8TkAAMCaWPYf166l7t57YtRd1rQQAACA0brpYQIAAFhvBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAACJdDu8AAAaFUlEQVQAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABgwvbzLmAlqup7Sc5IcnaS33f3nvOtCAAA2BZsFYFpdKfu/vG8iwAAALYdTskDAACYsLUEpk7y0ao6uqr2mXcxAADAtmFrOSXv9t19UlVdKcnHquob3f3J2QnGILVPkuy2227zqBEAALiI2Sp6mLr7pPH3j5IckuRWS0yzf3fv2d17btiwYa1LBAAALoLWfWCqqh2raueFx0nunuS4+VYFAABsC7aGU/KunOSQqkqGet/W3R+eb0kAAMC2YN0Hpu4+IcnN5l0HAACw7Vn3p+QBAADMi8AEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJghMAAAAEwQmAACACQITAADABIEJAABggsAEAAAwQWACAACYIDABAABMEJgAAAAmCEwAAAATBCYAAIAJAhMAAMAEgQkAAGCCwAQAADBBYAIAAJggMAEAAEwQmAAAACYITAAAABMEJgAAgAkCEwAAwASBCQAAYILABAAAMEFgAgAAmCAwAQAATBCYAAAAJmwVgamq7lFV36yq71TVs+ZdDwAAsG1Y94GpqrZL8uok90xywyR7V9UN51sVAACwLVj3gSnJrZJ8p7tP6O7fJXl7kvvNuSYAAGAbUN097xqWVVUPTnKP7n78+PxRSf64u/ddNN0+SfYZn14/yTfXtNCV2yXJj+ddxFZIu20e7bZ5tNvm0W6bR7ttHu22ebTb5tN2m2c9t9s1u3vDpibafi0qWQvdvX+S/eddx6ZU1VHdvee869jaaLfNo902j3bbPNpt82i3zaPdNo9223zabvNcFNptazgl76Qk15h5fvVxGAAAwKraGgLTF5Nct6quVVWXSPLwJO+bc00AAMA2YN2fktfdv6+qfZN8JMl2Sd7Q3cfPuawLY92fNrhOabfNo902j3bbPNpt82i3zaPdNo9223zabvNs9e227m/6AAAAMC9bwyl5AAAAcyEwAQAATBCYllBVV6mqt1fVd6vq6Kr6UFVdr6p2r6rjFk27X1U9fWI+j6yqr1TV8VX15ap6XVVdbjNrOryq5npLxqq6f1V1Vd1gZtjuVfXrqjp2fI+frarrr2Bebxr/x9ZKlnvHqjpy0bDtq+rUqtq1qv6hqu46Dj+3narqe1W1y/j4sxfkva6lsU3fMvN8+6o6rao+MD6/clV9YGzfr1XVhybmc/b4d1hY355WVRcbxz22ql61hep9YlU9ekvMazOWPfkeZ6b556o6afHwmfHHVNUe4+Ptq+rMqnrkzPijq+rmq/tO1s5Mmx1XVe+f3QZV1XXHdWthW3dYVd1hiXlcuqreWlVfHefz6araaalt4kVNDT5dVfecGfaQqvpwVZ05M+xeVfWtqrrmotc/dvw8Hzt+fv9yE8vbo6ruNfN88jtmvaqqZ4+f0a+M7/uPx+GHV9U3x8/uFxc+h4tee7+qes/M87+pqu/MPP+zqlr2xk9V9ZSquvSWfE/zsom2XPiuu1ZVfbuq/nTRa2e/n79WVQdW1cU3sbxdq+qdq/eOVsf4Pfm2qjph3JYdWVUPmJh2Rdu9zaxjyX215T7HNaf9k5rep+uq+seZYbtU1VlL7UMs2r59o6qeuoLlbnXbtERgOp+qqiSHJDm8u6/T3bdI8jdJrnwB53OPJE9Ncs/uvlGSmyf57AWdzzqzd5JPj79nfbe79+jumyU5IMnfbuHlfirJ1RftiNw1yfHd/cPufm53H7rcDLr7titd2LiDtJafjV8muXFVXWp8frec99b5/5DkY919s+6+YZJnTczn1+Pf4UbjPO6Z5O+3dLHd/ZruPnBLz3eFln2P49/tAUn+J8kdJ+bxmSQL68PNknxr4XlV7ZjkOkm+vJJiqupC3zhnS8xjExba7MZJfprkf4/L3SHJB5PsP7Ot+z9Jrr3EPJ6c5NTuvsk4n8clOevCFrYG7/1C6+FC3ycmeUVV7VBVOyV5QcZ2TJKqukuSf82wvT9xidm8o7v3SLJXkhdU1XLfA3skudcy49e1qrpNkvskuXl33zTDtvp/ZiZ5xPhd8e9JXrrELD6b5NYzz2+T5PSqutL4/LbjNMt5SpKtPjCtoC1TVVdP8uEkT+vujywxm++O695NMvxblocut8zxO3VFBzPXi3G/7T1JPtnd1x63ZQ/P8H4XT3tBtntrYqn9kzXaNk7t0/13knvPPH9IkuVutrawfbtdkmdX1TWWmXarJTCd352SnNXdr1kY0N1f7u5PXcD5PDvJ07v7pHEeZ3f3G7r7m0lSVc8dj7AdV1X7jzvp16mqLy3MYDwK8qXFM66qu49HT75UVQePX+CralzG7TPsKD18mUkvk+RnS7y+qupV49HFQ5NcaWbcLarqiPFIz0eq6qqzr+3uc5L856LlPjzJQePrN9lbVec9EvyMse2/UlXPG4ftPtZ2YJLjklxjnO9xNRxV3+RRkwvpQ9m4gdo743sbXTXJDxaedPdXNjWz7v5Rkn2S7Dt+mSTJrjUcFf92Vb1kYdqq2rs29hy8eGb4mVX1TzUcDf7cwk7eejk6NPEe98qwYf+PnP9LYMFnszEw3TbJazLspCbJrZIc3d1nV9Wtxs/ZMTXTczoeUXtfVX0iyceraq/xqOI7xyNsb12oZ2rdHqf/56o6KkMYWStHJrna+PgRSY7s7nOP1nf3cd39piVed9XMhPju/mZ3/3Z8ul1VvbaGo+AfXQj+VfWX4+fsy1X1rhqP+I+fq9dU1eeTvGRcnw6oqk9V1YlV9cCqesm4Tn64xiPiS20zt3TjTOnu45K8P8kzkzw3yYHd/d2xrjskeW2S+ywMW2Y+P0ry3STXXGr9quFfZ/xDkofVcMT2YeNLbziuMydU1ZMW5ldV7xnXreOrap+Z4Ut+dtfIVZP8eGH96O4fd/cPl5hudl08V3efliEg/cE46GpJ3pXzfmY/kyRV9R9VddT4/he25U9KsmuSw2roOdhuqW15DT15nxu/Bw6pqsuPww+vqhdX1Rdq6DH8ky3ULptjU2151SQfTfLs2c/xUrr77CRfyNjm43fep2rYj/hSVd12Zvhx4+PHVtW7J743ztf2c3TnJL9btN92Ynf/2xLTLrvd28R2/z1V9bEazl7Zt6r+epzuc1V1hZllPKo29urfamb41Of4zPH3XuPf5H1JvrYF2mVSLb9P96skX6+NPWUPy7APtqzu/kmS72RYLxd6gz8/ttGhi7ZDW2SbVlUbxu+XL44/t7vgrbFC3e1n5ifJk5K8cmLc7kl+neTYmZ9TMgSjxdP+NMlll1nOFWYevznJn42PD0uyx/j4BUn+z/j48CR7JtklySeT7DgOf2aS565BuzwiyevHx59Ncosl2uS7SU5OstsSr39gko9luDX8rkl+nuTBSS4+zm/DON3DMtw6fvHr90xyzPj4kkl+tNCGSd6U5MGz7TQ+/l6SXcbHZ46/757h9paV4YDBB5LcYXwf5yS59TjdLTL06iws/3Kr2LZnJrlpkncm2WFsy72SfGAc/6djex2WIYjvOjWfJYb9PEOv5mOTnJDksuMyTszwD6F3TfL9JBsy/JuBTyS5//janlkvX5LkOePj/bLEOr8WP8u9x/Hxa5M8KkNwPynJxZeY/ppJThgfH5TkBmPb7jy27/PHcZdJsv34+K5J3jU+fmyGALuw/u2V5BcZjmZeLMOO4O2XW7fH9fTf17LNMnz2Dk5yj/H5K5I8eYXz2CPDZ+7IJP+Y5Lrj8N2T/D4bt1n/meSR4+Mrzrz+H7NxW/amDJ+77WbWp0+P7XWzDF/W9xzHHTKzPi65zVzDdW/HJN9M8tUklxyHnZVhW3/TZV732CSvGh9fe2zHK2xi/XrVzOv3G9ejS2bY/v9kYb2eWQcvleFAzxXH50t+dteonXbKsA37VoZepDvOjDs8G7fPT0nygol5vDHJo5NcP8nbk9xlfB/bZ/i877Do/W83zvum4/PvZeO2f8lteZKvLNSWIaT+80yNLx8f3yvJoWu5nl3Atvxpkr9a5vW7JzlufLxDhu3cQhtdeqYdr5vkqCVe89gs8b2xXNvPqZ0m99uWmHbZ7V6W/1x+J8P3xIYM2/wnjuNemeQpM3+X146P7zDTlvtl+nO8sI3eK8MZJ9dagzZbbp/uuCT3TfKyDPsJH8+i7dLMfM4dnmS3cX1dWK8un4134378zOdquba4QNu0JG9LcvuZ5X99tdpMD9MFt3D62R49dEG+ZlMvqKqbjEcbvjtzxPBOY/L+aoajIzcah78uyZ9X1XYZdrDetmh2t05ywySfqapjkzwmww7gats7wxdXxt+zR+8X2uQ6Gb4El7rf/h2SHNRDT9sPM+yYJ8MX4o2TfGx8P8/JEt3o3X1Ukp3Goz33TPL57v7pZryPu48/xyT5Uoad5euO407s7s+Nj09Icu2q+rcaTq88fTOWtWI99BrtnqFdP7Ro3Ecy7Gi9dqz3mKrasBmL+Xh3/6K7f5Ph6NU1k9wyw+mnp3X375O8NcPfKkl+l2HHNkmOHutbt8aj8/dK8p7uPj3J5zOEzfPo4ZSpS1TVVTK05zcz/IPsP87M0esMOwkHj0dbX5mNn9Fk2AGbXf++0N0/6KE39NgMbbWpdfsdF+4dr9ilxuWfkiE8f2ypicaj7MdV1bsXj+vuYzOsgy/NsLP/xar6w3H0f4/jk/OuJzcej5Z+NcOX82z7HdzDEe8F/9XdZ2UII9tlOMUo4/OF+U1tM9dEd/8yw9/szb2xd+2sDF/8j9vEyx82/g0OSvKEcd1Zbv1a7IPd/dvu/nGGwLVwpPZJVfXlJJ/LsGOzsC2b22e3u8/MEFL2SXJakndU1WNnJnlrVf13hoMTr56YzUIv8G0zhPQvZPh8/lGSb4zbsCR5aA1nYRyTof1uuMS8zrctr6rLZghOR4zTHJCN270kWfgMzHW7t4K2PDTJI2v567WuM657pyY5uTeeoXDxJK8dP08HZ+m2S5b+3khW1vZzUVWvHnsivriCaRdv95b7XB7W3Wf00Av6iwy9zsl5t1PJeIZId38yyWVq43WjU5/jWV/o7v9e2Tu9UJbbp0uGbfDdMvQ+beq76mFV9ZUMgfLfZz6fV0/ykXEde0bO25Zbapt21ySvGtfx92Vo71U560pgOr/jM2ygtsR8bp4k3f3VMVz9V4adlx0yHC16cHffJMOO8A7j696VIRDcJ8OpQT9ZNN/KsLO2ENpu2N2b+rK+UMau5jsneV1VfS/Div/QqiVPiXlfzvvFs8nZZ7gWaeH93KS77z4x7UEZPrznno63GSrJC2eW9wfd/fpx3C8XJurun2U42n14husXXreZy7sg3pfhiM753lt3/7S739bdj8qwc7/JNq6qayc5O8PGKEl+OzP67Gz6H1ef1eNhmxVOv+YWvcc/TXK5JF8d19PbZ/nT8h6SYQeiM2ycb5fhlLyFG4w8P8MX5I2T/Fk2fkaTmXVltFTbbmrdXjyP1fLrcftzzbGmhWtvzt1GJUl3PyDD0cIrLJ7BOP7M7n53d/9Vkrdk43U2U+vVm5LsO27jnpcVtN8YOGfXu3OSbL+JbeZaOmf8mX3+0CS3qqrlrt18x7gO/HF3HzIOW279Wux8bVxVe2XYWbhND9cEHTMzj7l+dscDY4d3998n2TfJg2ZGPyJD+D4gyVKnTCUbrzO8bYbTp87I8N72ynj9UlVdK8nTk9ylh+t7Ppgl2nAzt+UL7T337d4m2vIlGb4PDq7pa14WrmG6TpJbVNV9x+FPzRCibpbhDI5LTLx+qXVvRW2/hhZvy/53hl7JpQ4sbmq7t9zncrYtzpl5fk7Ou550zmvh+Uq+g1f9e2El+3Td/bsMweRpGc5+Wc47xvXgtkleNB6MTIbP96vGbfYTMt2WF2abdrEMZwYtfM9ebTzQsMUJTOf3iSSXXHTu5E3rgp/H/MIkL6vhgswFCxf1L6wAPx6T8LnX34zJ/CMZrsF44xLz/VyS29V4fndV7VhV17uAtV1QD85wVPWa3b17d18jw0WBS7XJ7TOcmrfYJzMchdiuhus47jQO/2aSDTVc3JqqunhVTR1pPSjJIzN80N+7me/lI0n+YuEIRFVdrTZeTHyuGu6ud7HufleGnoG1uGvaG5I8r7u/uqiWO9fG6z92zvDF9/3lZjT2QL0mw8Zq8cZ71heS3LGGu+BslyFgHLHM9OvGEu9x7ySPH9fR3ZNcK8ndJo6+fjZDb+hCODoywylAp3T3L8Zhl83G63YeuxklXpB1e9V1968ynLrytHHn6m0ZtiX3nZlsySPVVXW72niNxyUyHE1e6uYGs3ZOcnIN1yA94kKWP7nNnLexXe+d5BFVdUEOXk2tX2dkaLuVvP5n3f2rGu5ydetNvWAt1HAt1nVnBu2RRevK+Hn9uyS3rpk7dM34eobThW+fYacpGXpun5iNPcCXybBz+YvxeoZ7zrz+3DZcals+fsZ/NvO9/qisw+3eStoyw3bs9CSvnziImWS4/inDDYP+Zhx02QwHjM7J8P63uwClLdf28/CJJDtU1f+aGTbV67ap7d6F3e4nw9lBqarbJ/nFzHfKerHSfbqXJ3lmr/Bsnh7OBHpzNl6XO9uWj1nBLDZnm/bRDDftSDJcm7iSWjeHwLTIuCF/QJK7jqfQHZ8h/JxyAefzoQx3TfqvGm7n+dkMqfgj3f3zDEdIj8uwA7+42/itGY5YfHSJ+Z6W4UN80NgFemSG04pW094ZriWY9a5sPHp/nRpvK57huqvHLzGPQ5J8O0OX/oEZd1THoxgPTvLi8fXHZuPFvefR3V/PsJH+RA+nx1xg3f3RDBvMI8du4ndm6Z2TqyU5fOzmfUs2fsmsmh5O6frXJUbdIslRM3/v13X3UqcaXGr8Oxyf4VSNj2Y4sr/cMk/O8CV6WIY7wx3d3ZsbRtfCku9xDEX3yHCkM8m5p1B9OsNRwsU+k+Eo98J6eHKGHYbZu2+9JMkLq+qYbMZR5guybq+V7j4mw7Ube3f3rzP0ZD+xhgtvj8ywQ/mPS7z0OkmOGD8zxyQ5KsM2YDl/l+G0yM8k+caFrHtT28y5Gnco7pHkOYt2xJYztX4dluGC6NmbPizlwxmOyn49yYsyHExbD3ZKcsD4vfeVDOF6v8UTjevfyzMc3V48rjOsOz/p4VTNZPisXjvjZ7S7v5xhXfxGhm36Z2ZmsX+SD1fVYZnelj8m/387dw9iRxWGcfz/SAoNK7FQIyxiEAUVwdVoSkGLqJVaKILCSiorPwoRQQsFDdFGEETBb7AKGokIJhAsUrj4kQQ3iqJoTCkGRSIJkfW1mLOwro6bD27ubPb/q+6ec2fuOcNl9j7zzhl4vo1xim4d09AseSzbsZqmW2j/3L/28E/vA6tbUHwJmG7npis4gcrGEsf+tGvH4A66i38/JvmUroL52H+8d6nz3imd95ujbfuXWfp23XFY6jcdAFX1VVW9dYL73kK3rORcuu/q1iRfAL8cx7Ync057ELg+3cNbvqa7qDIS84uxNCDpnkC2pqqeHPdYJEmSpJVscGsSVrok2+iu5t487rFIkiRJK50VJkmSJEnq4RomSZIkSephYJIkSZKkHgYmSZIkSephYJIkSZKkHgYmSZIkSephYJIkSZKkHgYmSZIkSephYJIkSZKkHgYmSZIkSephYJIkSZKkHgYmSZIkSephYJIkSZKkHgYmSZIkSephYJIkSZKkHgYmSZIkSephYJIkDVqSuST7kuxPsjXJ6tZ+eNxjkySd+QxMkqShO1JVU1V1NXAMeGDUH5iO/yMlSQYmSdKyshu4bGFDkokku5LsSTKb5PbW/nSShxe875kkD7XXjyb5LMmXSZ5qbeuSfJvkbWA/cHGSN1tlazbJI6dtlpKkwVg17gFIknQ8kqwCbgM+WtR1FLizqn5Pcj4wk2Q78DrwHvBCqxbdA2xIshG4HNgABNie5EbgYGufrqqZJOuByVbZIsl5o5+lJGloDEySpKE7J8m+9no38Nqi/gDPttDzFzAJrK2qA0kOJbkWWAvsrapDLTBtBPa27SfogtJB4KeqmmntPwCXJnkR+BDYOaL5SZIGzMAkSRq6I1U19T/99wIXAOur6s8kB4CzW9+rwP3ARXQVJ+gC1uaqemXhTpKsA/6Y/7uqfk1yDXAL3bqpu4FNpzgXSdIy4xomSdJytwb4uYWlm4BLFvRtA24FbgB2tLYdwKYkEwBJJpNcuHin7fa+s6rqXeAJ4LoRzkGSNFBWmCRJy907wAdJZoHPgW/mO6rqWJKPgd+qaq617UxyJfBJEoDDwH3A3KL9TgJvLHha3uOjnYYkaYhSVeMegyRJI9HCzh7grqr6btzjkSQtP96SJ0k6IyW5Cvge2GVYkiSdLCtMkiRJktTDCpMkSZIk9TAwSZIkSVIPA5MkSZIk9TAwSZIkSVIPA5MkSZIk9fgbcVMoWgHk3AYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot to visualise the top 10 players based on the no. of MOM awards won\n",
    "fig, ax=plt.subplots()\n",
    "ax.set_ylim([0,28])\n",
    "ax.set_title('Top 10 players based on no. of MOM awards won\\n')\n",
    "sns.barplot(x=mom.index, y=mom, orient='v')\n",
    "plt.ylabel('No. of MOM awards won\\n')\n",
    "plt.xlabel('\\nPlayers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    363\n",
       "True     393\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Does winning the toss mean winning the match?\n",
    "winnerwinner=matches['toss_winner']== matches['winner']\n",
    "winnerwinner.groupby(winnerwinner).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    48.02\n",
       "True     51.98\n",
       "dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# % of games where the toss winning team lost the match (indicated by false) and toss winning team won the match(indicated by true)\n",
    "round(winnerwinner.groupby(winnerwinner).size() / winnerwinner.count() * 100,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "field    463\n",
       "bat      293\n",
       "Name: toss_decision, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many times did the captain choose fielding and batting after winning the toss?\n",
    "matches['toss_decision'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "field    61.24\n",
       "bat      38.76\n",
       "Name: toss_decision, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# % of matches where the toss winning team's captain chose fielding and batting\n",
    "round(matches['toss_decision'].value_counts()/matches['toss_decision'].count()*100, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56                                 M Chinnaswamy Stadium\n",
       "99                                      Feroz Shah Kotla\n",
       "102                                         Eden Gardens\n",
       "119                                             Newlands\n",
       "122                                            Kingsmead\n",
       "148                                      SuperSport Park\n",
       "251                                        Nehru Stadium\n",
       "280                                         Eden Gardens\n",
       "290                                M Chinnaswamy Stadium\n",
       "488                                     Feroz Shah Kotla\n",
       "536    Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...\n",
       "567            Rajiv Gandhi International Stadium, Uppal\n",
       "597            Rajiv Gandhi International Stadium, Uppal\n",
       "620                                         Eden Gardens\n",
       "624    Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket St...\n",
       "625                                M Chinnaswamy Stadium\n",
       "641                               Sawai Mansingh Stadium\n",
       "653                                         Eden Gardens\n",
       "667                                     Feroz Shah Kotla\n",
       "Name: venue, dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Stadiums which have hosted D/L method applied matches \n",
    "matches.query('dl_applied==1')['venue']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56         Bangalore\n",
       "99             Delhi\n",
       "102          Kolkata\n",
       "119        Cape Town\n",
       "122           Durban\n",
       "148        Centurion\n",
       "251            Kochi\n",
       "280          Kolkata\n",
       "290        Bangalore\n",
       "488            Delhi\n",
       "536    Visakhapatnam\n",
       "567        Hyderabad\n",
       "597        Hyderabad\n",
       "620          Kolkata\n",
       "624    Visakhapatnam\n",
       "625        Bangalore\n",
       "641           Jaipur\n",
       "653          Kolkata\n",
       "667            Delhi\n",
       "Name: city, dtype: object"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cities which have witnessed D/L method applied matches\n",
    "matches.query('dl_applied==1')['city']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "56     2017\n",
       "99     2008\n",
       "102    2008\n",
       "119    2009\n",
       "122    2009\n",
       "148    2009\n",
       "251    2011\n",
       "280    2011\n",
       "290    2011\n",
       "488    2014\n",
       "536    2015\n",
       "567    2015\n",
       "597    2016\n",
       "620    2016\n",
       "624    2016\n",
       "625    2016\n",
       "641    2018\n",
       "653    2018\n",
       "667    2018\n",
       "Name: season, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Seasons with D/L method applied matches\n",
    "year=matches.query('dl_applied==1')['season']\n",
    "year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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geIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADC8HasuYFFVfTzJF5J8Pcml3X38aisCAABGsK2C0ezO3X3uqosAAADG4VI6AABgeNXdq67hP1XVfyQ5P0kn+fPuPnnd+BOTnJgkhx122K1ucpObLL9IAABgv3Daaaed2907NzLtdgtGR3X3p6vq25K8LskvdfebdjXt8ccf3+9617uWWyAAALDfqKrTNvrcgm11KV13f3r+eXaSlyW59WorAgAARrBtglFVHVZVh691J7lbkg+utioAAGAE2+mpdNdK8rKqSqa6/qa7X73akgAAgBFsm2DU3R9L8r2rrgMAABjPtrmUDgAAYFUEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhretglFVHVRV76mqV666FgAAYBzbKhgleXiSM1ZdBAAAMJZtE4yq6ugk90ryzFXXAgAAjGXHqgtY8LQkj0py+O4mqKoTk5yYJMccc8ySygIANtvvPvjHVl3Cfukxz3/xqkuAA9a2OGNUVfdOcnZ3n7an6br75O4+vruP37lz55KqAwAADnTbIhgluX2S+1bVx5O8MMldqur5qy0JAAAYxbYIRt396919dHcfm+SBSd7Q3Q9ecVkAAMAgtkUwAgAAWKXt9PCFJEl3n5LklBWXAQAADMQZIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAw9s2waiqDqmqd1TV+6rq9Kp6/KprAgAAxrBj1QUsuCTJXbr74qo6OMk/V9Wruvttqy4MAAA4sG2bYNTdneTiuffg+dWrqwgAABjFtglGSVJVByU5LckNkvyf7n77uvEnJjkxSY455pjlF8jl9sknfPeqS9gvHfPYD2zasm7/9Ntv2rJG8i+/9C+rLgGAA9jjHve4VZew39rsz27b3GOUJN399e6+eZKjk9y6qm62bvzJ3X18dx+/c+fO1RQJAAAccLZVMFrT3RckeWOSE1ZdCwAAcODbNsGoqnZW1ZFz96FJfjjJh1dbFQAAMILtdI/RtZM8d77P6ApJXtTdr1xxTQAAwAC2TTDq7vcnucWq6wAAAMazbS6lAwAAWBXBCAAAGN5eg1FVPamqjqiqg6vq9VV1TlU9eBnFAQAALMNGzhjdrbsvSnLvJB/P9M9Xf3UriwIAAFimjQSjtQc03CvJ33X3hVtYDwAAwNJt5Kl0r6yqDyf5cpL/VVU7k3xla8sCAABYnr2eMeruRye5XZLju/trSb6U5H5bXRgAAMCybOThC1dO8v8k+bN50HWSHL+VRQEAACzTRu4xenaSr2Y6a5Qkn07yxC2rCAAAYMk2Eoyu391PSvK1JOnuLyWpLa0KAABgiTYSjL5aVYcm6SSpqusnuWRLqwIAAFiijTyV7reTvDrJdavqr5PcPslDt7IoAACAZdprMOru11XVu5PcNtMldA/v7nO3vDIAAIAl2cgZoyQ5JMn58/THVVW6+01bVxYAAMDy7DUYVdUfJHlAktOTfGMe3EkEIwAA4ICwkTNGP5Lkxt3tgQsAAMABaSNPpftYkoO3uhAAAIBV2e0Zo6p6eqZL5r6U5L1V9fosPKa7u39568sDAADYenu6lO5d88/Tkrx8CbUAAACsxG6DUXc/N0mq6rAkX+nur8/9ByW50nLKAwAA2Hobucfo9UkOXeg/NMk/bU05AAAAy7eRYHRId1+81jN3X3nrSgIAAFiujQSjL1bVLdd6qupWSb68dSUBAAAs10b+j9EjkvxdVX0mSSX59iQP3NKqAAAAlmgjwej9SW6S5MZz/0eysTNNAAAA+4WNBJy3dvfXuvuD8+trSd661YUBAAAsy57+weu3JzkqyaFVdYtMl9ElyRHx8AUAAOAAsqdL6e6e5KFJjk7y1IXhX0jyG1tYEwAAwFLt7R+8Preq/nt3v2SJNQEAACzVXh++0N0vqap7JblpkkMWhj9hKwsDAABYlr0+fKGqnpHkAUl+KdN9RvdPcr0trgsAAGBpNvJUutt1908mOb+7H5/k+5PcaGvLAgAAWJ6NBKMvzz+/VFXXSfK1JNfeupIAAACWayP/4PWVVXVkkicneXeSTvLMLa0KAABgiTby8IXfmTtfUlWvTHJId1+4tWUBAAAsz16DUVUdlOReSY5dm76q0t1P3dN8AAAA+4uNXEr3iiRfSfKBJN/Y2nIAAACWbyPB6Oju/p4trwQAAGBFNvJUuldV1d22vBIAAIAV2cgZo7cleVlVXSHTo7orSXf3EVtaGQAAwJJsJBg9NdM/df1Ad/cW1wMAALB0G7mU7swkHxSKAACAA9VGzhh9LMkpVfWqJJesDfS4bgAA4ECxkWD0H/PrivMLAADggLLXYNTdj19GIQAAAKuykXuMAAAADmiCEQAAMLzdBqOq+oP55/2XVw4AAMDy7emM0T2rqpL8+rKKAQAAWIU9PXzh1UnOT3KVqrooSSXptZ/dfcQS6gMAANhyuz1j1N2/2t1HJvm/3X1Edx+++HOJNQIAAGypjTyu+35Vda0k3zcPent3n7O1ZQEAACzPXp9KNz984R1J7p/kx5O8o6p+bKsLAwAAWJa9njFK8ptJvq+7z06SqtqZ5J+SvHgrCwMAAFiWjfwfoyushaLZeRucDwAAYL+wkTNGr66q1yR5wdz/gCT/uHUlAQAALNdGHr7wq1X1o0nuMA86ubtftrVlAQAALM9Gzhilu1+a5KVbXAsAAMBKuFcIAAAYnmAEAAAMTzACAACGd7mCUVU9bpPrAAAAWJnLe8botE2tAgAAYIUuVzDq7ldsdiEAAACrstdgVFVHV9XLquqcqjq7ql5SVUcvozgAAIBl2MgZo2cneXmSaye5TpJXzMMAAAAOCBsJRju7+9ndfen8ek6SnVtcFwAAwNJsJBidV1UPrqqD5teDk5y31YUBAAAsy0aC0U8n+fEkn01yVpIfS/KwrSwKAABgmXbsbYLu/kSS+y6hFgAAgJXYbTCqqsfuYb7u7t/ZgnoAAACWbk9njL64i2GHJfmZJNdIIhgBAAAHhN0Go+5+ylp3VR2e5OGZ7i16YZKn7G4+AACA/c0e7zGqqqsn+ZUkP5HkuUlu2d3nL6MwAACAZdnTPUZPTvKjSU5O8t3dffHSqgIAAFiiPT2u+6Qk10nym0k+U1UXza8vVNVFyykPAABg6+3pHqON/I8jAACA/Z7wAwAADG/bBKOqum5VvbGqPlRVp1fVw1ddEwAAMIY9PpVuyS5NclJ3v3t+PPhpVfW67v7QqgsDAAAObNvmjFF3n9Xd7567v5DkjCRHrbYqAABgBNvpjNF/qqpjk9wiydvXDT8xyYlJcswxx2xoWbf61edtbnGDOO3JP7nqEgC2zJ+c9IpVl7Bf+sWn3GfVJQBsmW1zxmhNVV0lyUuSPKK7L/NY8O4+ubuP7+7jd+7cuZoCAQCAA862CkZVdXCmUPTX3f3SVdcDAACMYdsEo6qqJM9KckZ3P3XV9QAAAOPYNsEoye2TPCTJXarqvfPrnqsuCgAAOPBtm4cvdPc/J6lV1wEAAIxnO50xAgAAWAnBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4W2bYFRVf1lVZ1fVB1ddCwAAMJZtE4ySPCfJCasuAgAAGM+2CUbd/aYkn191HQAAwHh2rLqAfVFVJyY5MUmOOeaYFVcDsO9O/cE7rrqE/dId33TqqkuAA9IZv/uGVZewX/qux9xl1SWwBbbNGaON6O6Tu/v47j5+586dqy4HAAA4QOxXwQgAAGArCEYAAMDwtk0wqqoXJHlrkhtX1aeq6mdWXRMAADCGbfPwhe5+0KprAAAAxrRtzhgBAACsimAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMDzBCAAAGJ5gBAAADE8wAgAAhicYAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAABLLKaVAAAJvUlEQVQwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwtlUwqqoTquojVfXRqnr0qusBAADGsG2CUVUdlOT/JLlHkuOSPKiqjlttVQAAwAi2TTBKcuskH+3uj3X3V5O8MMn9VlwTAAAwgOruVdeQJKmqH0tyQnf/7Nz/kCS36e5fXJjmxCQnzr03TvKRpRe6ua6Z5NxVF4F22Aa0wfagHbYH7bB62mB70A7bw/7eDtfr7p0bmXDHVleymbr75CQnr7qOzVJV7+ru41ddx+i0w+ppg+1BO2wP2mH1tMH2oB22h5HaYTtdSvfpJNdd6D96HgYAALCltlMwemeSG1bVd1TVFZM8MMnLV1wTAAAwgG1zKV13X1pVv5jkNUkOSvKX3X36isvaagfMZYH7Oe2wetpge9AO24N2WD1tsD1oh+1hmHbYNg9fAAAAWJXtdCkdAADASghGAADA8ASjTVRV162qN1bVh6rq9Kp6+Dz86lX1uqr6t/nn1ebhVVV/XFUfrar3V9UtF5b1pHkZZ8zT1KrWa3+zye3wB1X1wfn1gFWt0/7mcrTBTarqrVV1SVU9ct2y/rKqzq6qD65iXfZnm9kO8/iDquo9VfXKZa/L/myT94ePV9UHquq9VfWuVazP/miT2+DIqnpxVX14/hv9/atYp/3RZrVDVd143gfWXhdV1SNWtV77m03eH/7feRkfrKoXVNUhq1inzSIYba5Lk5zU3ccluW2SX6iq45I8Osnru/uGSV4/9yfJPZLccH6dmOTPkqSqbpfk9km+J8nNknxfkjsucT32d5vVDvdKcsskN09ymySPrKojlrki+7F9bYPPJ/nlJH+4i2U9J8kJW17xgWkz2yFJHp7kjK0t+YC02e1w5+6++Sj/V2STbGYb/FGSV3f3TZJ8b+wT+2JT2qG7PzLvAzdPcqskX0rysiWtw4FgU9qhqo6ahx/f3TfL9PC0By5nFbaGYLSJuvus7n733P2FTL8sj0pyvyTPnSd7bpIfmbvvl+R5PXlbkiOr6tpJOskhSa6Y5EpJDk7yuaWtyH5uE9vhuCRv6u5Lu/uLSd4fB+gbsq9t0N1nd/c7k3xtF8t6U6ZfyuyjzWyHqjo6yb2SPHMJpR9QNrMduHw2qw2q6qpJfjDJs+bpvtrdFyxlJQ4AW7Qv3DXJv3f3J7as8APMJrfDjiSHVtWOJFdO8pktLn9LCUZbpKqOTXKLJG9Pcq3uPmse9dkk15q7j0py5sJsn0pyVHe/Nckbk5w1v17T3b6Ruhy+lXZI8r4kJ1TVlavqmknunMv+E2I2YINtwBbbhHZ4WpJHJfnGVtQ3ik1oh07y2qo6rapO3JIiD3DfYht8R5Jzkjx7vqz0mVV12FbVeiDbxL8ND0zygk0tbiDfSjt096cznUX6ZKbj1Qu7+7VbVuwSCEZboKqukuQlSR7R3Rctjuvp+eh7fEZ6Vd0gyXclOTrTAfpdquoHtqjcA9a32g7zzv2PSd6S6ZfuW5N8fWuqPTB9q23A5tiE30n3TnJ2d5+2dVUe+DZpf7hDd98y0yXAv1BVP7j5lR64NqENdmS6xPrPuvsWSb6Yb15uxAZt1t+Gqrpikvsm+btNL3IAm/C34WqZzjJ9R5LrJDmsqh68ReUuhWC0yarq4Ewb2V9390vnwZ+bL83K/PPsefinc9kzEEfPw/5bkrd198XdfXGSVyVxc+c+2KR2SHf/7nwd8w8nqST/uoz6DwT72AZskU1qh9snuW9VfTzJCzN9WfP8LSr5gLRZ+8P8DW26++xM91TcemsqPvBsUht8Ksmnuvvtc/+LMwUlNmiT/zbcI8m7u9vtBvtok9rhh5L8R3ef091fS/LSJLfbqpqXQTDaRFVVma47PqO7n7ow6uVJfmru/qkk/7Aw/CdrcttMpyDPynRK8o5VtWPecO8YN3du2Ga1Q01P4LrGvMzvyfQwjP36FPGyXI42YAtsVjt0969399HdfWymy1be0N379beCy7RZ7VBVh1XV4WvdSe6WxNMaN2AT94XPJjmzqm48D7prkg9tcrkHrC342/CguIxun21iO3wyyW3nWw4q0/6wXx+v1nSmjM1QVXdI8uYkH8g3r8P/jUzXbb4oyTFJPpHkx7v78/NG9CeZbuj/UpKHdfe7quqgJH+a6QbPzvT0m19Z6srsxzaxHQ5J8u55/ouS/Hx3v3d5a7L/uhxt8O1J3pXkiHn6i5Mc190XVdULktwpyTUzPYTkt7v7WUtcnf3WZrbDwjLvlOSR3X3vZa3H/m6z2iHTPrD25K0dSf6mu393WeuxP9vk30k3z/QQkism+VimvxnnL3N99leb3A6HZTow/87uvnC5a7J/2+R2eHySB2R60t17kvxsd1+yzPXZTIIRAAAwPJfSAQAAwxOMAACA4QlGAADA8AQjAABgeIIRAAAwPMEIAAAYnmAEAAAMTzACAACGJxgBAADDE4wAAIDhCUYAAMDwBCMAAGB4ghEAADA8wQgAABieYAQAAAxPMAIAAIYnGAEAAMMTjADYFqrqMVV1elW9v6reW1W3WXVNAIxjx6oLAICq+v4k905yy+6+pKqumeSKKy4LgIE4YwTAdnDtJOd29yVJ0t3ndvdnqupWVXVqVZ1WVa+pqmsnSVX9z6p6Z1W9r6peUlVXnoffv6o+OA9/0zzskKp6dlV9oKreU1V3noc/tKpeWlWvrqp/q6onrWjdAdgGqrtXXQMAg6uqqyT55yRXTvJPSf42yVuSnJrkft19TlU9IMndu/unq+oa3X3ePO8Tk3yuu59eVR9IckJ3f7qqjuzuC6rqpCQ3nee7SZLXJrlRkgcmeWySWyS5JMlHktyhu89c6soDsC24lA6Alevui6vqVkl+IMmdMwWjJya5WZLXVVWSHJTkrHmWm82B6MgkV0nymnn4vyR5TlW9KMlL52F3SPL0+X0+XFWfyBSMkuT13X1hklTVh5JcL4lgBDAgwQiAbaG7v57klCSnzGd+fiHJ6d39/buY/DlJfqS731dVD01yp3kZPz8/tOFeSU6bw9aeXLLQ/fX4uwgwLPcYAbByVXXjqrrhwqCbJzkjyc75wQypqoOr6qbz+MOTnFVVByf5iYXlXL+7397dj01yTpLrJnnz2jRVdaMkx2S6bA4A/pNvxgDYDq6S5OlVdWSSS5N8NMmJSU5O8sdVddVMf7OeluT0JL+V5O2Zws/bMwWlJHnyHLAqyeuTvC/Jh5P82XwW6tIkD52ffLesdQNgP+DhCwAAwPBcSgcAAAxPMAIAAIYnGAEAAMMTjAAAgOEJRgAAwPAEIwAAYHiCEQAAMLz/H7FBI5YXYHqiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot to visualise the no. of matches where D/L method was applied season wise\n",
    "fig, ax=plt.subplots()\n",
    "ax.set_ylim([0,5])\n",
    "ax.set_title('No. of matches where D/L method was applied, season wise\\n')\n",
    "sns.countplot(x=year, data=matches)\n",
    "plt.xlabel('\\nSeason')\n",
    "plt.ylabel('No. of matches\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "normal       743\n",
       "tie            9\n",
       "no result      4\n",
       "Name: result, dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Different results for games\n",
    "matches['result'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mumbai Indians                 98\n",
       "Kolkata Knight Riders          92\n",
       "Chennai Super Kings            89\n",
       "Royal Challengers Bangalore    81\n",
       "Kings XI Punjab                81\n",
       "Rajasthan Royals               80\n",
       "Delhi Daredevils               80\n",
       "Sunrisers Hyderabad            46\n",
       "Deccan Chargers                43\n",
       "Pune Warriors                  20\n",
       "Gujarat Lions                  15\n",
       "Delhi Capitals                 10\n",
       "Kochi Tuskers Kerala            8\n",
       "Rising Pune Supergiants         7\n",
       "Rising Pune Supergiant          6\n",
       "Name: toss_winner, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many times did each team win the toss?\n",
    "matches['toss_winner'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot to visualise the no. of tosses won by each team\n",
    "toss=matches['toss_winner'].value_counts()\n",
    "fig, ax=plt.subplots()\n",
    "ax.set_title('No. of tosses won by each team\\n')\n",
    "sns.barplot(y=toss.index, x=toss, orient='h')\n",
    "plt.xlabel('\\nNo. of tosses won')\n",
    "plt.ylabel('Teams\\m')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Wankhede Stadium\n",
       "dtype: object"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best venue for defending your total\n",
    "matches.venue[matches.win_by_runs!=0].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Eden Gardens\n",
       "dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best venue to chase a total\n",
    "matches.venue[matches.win_by_wickets!=0].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Mumbai Indians\n",
       "dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best defending team\n",
    "matches.winner[matches.win_by_runs!=0].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Kolkata Knight Riders\n",
       "dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best chasing team\n",
    "matches.winner[matches.win_by_wickets!=0].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# No. of matches played in different stadiums\n",
    "sns.countplot(y='venue', data=matches)\n",
    "plt.title('No. of matches played in different stadiums\\n')\n",
    "plt.xlabel('\\nNo. of matches played')\n",
    "plt.ylabel('Stadiums\\n')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}